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Rubin causal model
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41	Causality Causality refers to the relationship between events where one set of events (the effects) is a direct consequence of another set of events (the causes). Causal inference is the process by which one can use data Add to Reading List Source URL: sekhon.berkeley.edu Language: English - Date: 2010-10-24 01:49:38 Conditionals Observational study Philosophy of science Rubin causal model Causality Counterfactual conditional Average treatment effect Donald Rubin Interaction Statistics Science Econometrics
42	JSS Journal of Statistical Software May 2011, Volume 42, Issue 7. http://www.jstatsoft.org/ Add to Reading List Source URL: sekhon.berkeley.edu Language: English - Date: 2011-04-23 12:05:48 Observational study Medical statistics Regression analysis Propensity score matching Propensity score Rubin causal model Matching Ignorability Experiment Statistics Econometrics Design of experiments
43	The Neyman-Rubin Model of Causal Inference and Estimation via Matching Methods∗ Forthcoming in The Oxford Handbook of Political Methodology, Janet Box-Steffensmeier, Henry Brady, and David Collier, eds. Jasjeet S. Sek Add to Reading List Source URL: sekhon.berkeley.edu Language: English - Date: 2007-11-16 18:57:40 Observational study Regression analysis Parametric statistics Rubin causal model Propensity score Donald Rubin Ignorability Linear regression Average treatment effect Statistics Econometrics Design of experiments
44	ANRV377-PL12-27 ARI 7 April 2009 Add to Reading List Source URL: sekhon.berkeley.edu Language: English - Date: 2009-07-09 02:48:53 Rubin causal model Average treatment effect Regression discontinuity design Instrumental variable Observational study Randomized experiment Random assignment Linear regression Randomization Statistics Design of experiments Econometrics
45	Sequential Matching Estimation of Dynamic Causal Models Add to Reading List Source URL: repec.iza.org Language: English - Date: 2005-03-02 12:33:01 Average treatment effect Causality Propensity score Matching Endogeneity Confounding Estimator Epidemiology Rubin causal model Statistics Econometrics Science
46	1 DRAFT VERSION, comments welcome. Explaining Mechanisms1 Peter Machamer History and Philosophy of Science University of Pittsburgh Add to Reading List Source URL: philsci-archive.pitt.edu Language: English - Date: 2010-10-07 11:19:16 Biology Mechanism Naturalism Determinism Wesley C. Salmon Causality Explanation Philosophy of mind Rubin causal model Philosophy Knowledge Philosophy of science
47	Why ask why? Forward causal inference and reverse causal questions∗ Andrew Gelman† Guido Imbens‡ Add to Reading List Source URL: www.stat.columbia.edu Language: English - Date: 2013-10-05 13:36:39 Causality Regression analysis Philosophy of science Conditionals Instrumental variable Structural equation modeling Causal thinking Rubin causal model Wesley C. Salmon Statistics Science Econometrics
48	The problem of causality in microeconometrics. Andrea Ichino University of Bologna and Cepr June 11, 2007 Add to Reading List Source URL: www.eui.eu Language: English - Date: 2014-03-26 18:01:42 Observational study Science Design of experiments Medical statistics Conditionals Rubin causal model Regression discontinuity design Average treatment effect Instrumental variable Econometrics Statistics Economics
49	Cognitive Science[removed]–59 Copyright 2010 Cognitive Science Society, Inc. All rights reserved. ISSN: [removed]print[removed]online Add to Reading List Source URL: www.psy.cmu.edu Language: English - Date: 2010-08-28 10:30:36 Causality Conditionals Philosophy of science Causal sets Model Abstract object Mental model Schema Rubin causal model Ethology Science Mind
50	Two Proposals for Causal Grammars Thomas L. Griffiths Department of Cognitive and Linguistic Sciences Add to Reading List Source URL: web.mit.edu Language: English - Date: 2005-09-11 22:58:54 Bayesian network Causality Science Graph Connectivity Mathematics Mathematical sciences Rubin causal model Statistical models Bayesian statistics Graphical model

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